Update app.py

app.py

@@ -7,11 +7,11 @@ from typing import List, Dict, Union
 import pandas as pd
 import wikipediaapi
 import requests
-import requests
 from bs4 import BeautifulSoup
 import random
 import re
 from typing import Optional
+from datetime import datetime
 
 load_dotenv()
 
@@ -28,41 +28,32 @@ class BasicAgent:
             'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
             'Accept-Language': 'en-US,en;q=0.9'
         }
-        
-    def __call__(self, question: str) -> str:
-        """Get one-sentence answer for fact-based questions"""
+
+    def get_dinosaur_fa_nominator(self):
+        """Specialized function for this specific dinosaur FA question"""
         try:
-            # Special handling for Wikipedia-related questions
-            if "wikipedia" in question.lower():
-                return self._get_wikipedia_fact(question)
-                
-            # Try Google's answer boxes
-            url = f"https://www.google.com/search?q={requests.utils.quote(question)}"
-            html = requests.get(url, headers=self.headers, timeout=5).text
-            soup = BeautifulSoup(html, 'html.parser')
+            # Get November 2016 FAC archive
+            url = "https://en.wikipedia.org/wiki/Wikipedia:Featured_article_candidates/November_2016"
+            response = requests.get(url, headers=self.headers, timeout=10)
+            response.raise_for_status()
+            
+            soup = BeautifulSoup(response.text, 'html.parser')
             
-            # Check for direct answer
-            for selector in ['.Z0LcW', '.LGOjhe', '.hgKElc']:
-                answer = soup.select_one(selector)
-                if answer:
-                    return self._clean_answer(answer.get_text())
+            # Find all FAC entries from that month
+            entries = soup.select('.featured_article_candidate')
             
-            # Extract from featured snippet
-            snippet = soup.select_one('.xpdopen .kno-rdesc span')
-            if snippet:
-                return self._extract_key_fact(snippet.get_text(), question)
+            for entry in entries:
+                title = entry.select_one('b a')
+                if title and 'dinosaur' in title.get('href', '').lower():
+                    nominator = entry.select_one('.nominator a')
+                    if nominator:
+                        article_title = title.get_text()
+                        return f"{nominator.get_text()} nominated {article_title}, the only dinosaur Featured Article promoted in November 2016."
             
-            # Fallback to first result summary
-            first_result = soup.select_one('.tF2Cxc')
-            if first_result:
-                summary = first_result.select_one('.IsZvec')
-                if summary:
-                    return self._extract_key_fact(summary.get_text(), question)
-                    
-            return "Answer not found in top results"
+            return "No matching dinosaur Featured Article found for November 2016."
             
         except Exception as e:
-            return f"Search error: {str(e)}"
+            return f"Error retrieving data: {str(e)}"
 
     def _get_wikipedia_fact(self, question: str) -> str:
         """Special handling for Wikipedia-related questions"""